Suchergebnisse - "Coding AND Information Theory—Data compaction AND compression General Terms Algorithms*"

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  1. 1

    Unsupervised document classification using sequential information maximization

    Autoren: Noam Slonim Nir Friedman Naftali Tishby The Pennsylvania State University CiteSeerX Archives

    Weitere Verfasser: Noam Slonim Nir Friedman Naftali Tishby The Pennsylvania State University CiteSeerX Archives

    Quelle: http://www.cs.rutgers.edu/~mlittman/topics/dimred02/slonim.pdf.

    Schlagwörter: I.5.3 [Pattern Recognition, Clustering—Algorithms, I.5.4 [Pattern Recognition, Applications—Text processing, E.4 [Data, Coding and Information Theory—Data compaction and compression General Terms Algorithms, Theory, Performance, Experimentation

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.3622; http://www.cs.rutgers.edu/~mlittman/topics/dimred02/slonim.pdf

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.3622
    http://www.cs.rutgers.edu/~mlittman/topics/dimred02/slonim.pdf

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  2. 2

    Unsupervised document classification using sequential information maximization

    Autoren: Noam Slonim Nir Friedman Naftali Tishby The Pennsylvania State University CiteSeerX Archives

    Weitere Verfasser: Noam Slonim Nir Friedman Naftali Tishby The Pennsylvania State University CiteSeerX Archives

    Quelle: http://www.cis.uab.edu/zhang/Spam-mining-papers/Unsupervised.Document.Classification.using.Sequential.Information.Maximization.pdf.

    Schlagwörter: Categories and Subject Descriptors I.5.3 [Pattern Recognition, Clustering—Algorithms, I.5.4 [Pattern Recognition, Applications—Text processing, E.4 [Data, Coding and Information Theory—Data compaction and compression General Terms Algorithms, Theory, Performance, Experimentation

    Dateibeschreibung: application/pdf

    Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.6254

    Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.6254
    http://www.cis.uab.edu/zhang/Spam-mining-papers/Unsupervised.Document.Classification.using.Sequential.Information.Maximization.pdf

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  3. 3

    APPLICATION OF SPLAY TREES TO DATA COMPRESSION.

    Autoren: Jones, Douglas W.

    Quelle: Communications of the ACM; Aug1988, Vol. 31 Issue 8, p996-1007, 12p, 7 Diagrams, 1 Chart, 2 Graphs

    Schlagwörter: DATA compression, ALGORITHMS

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  4. 4

    Optimal Lower and Upper Bounds for Representing Sequences.

    Autoren: BELAZZOUGUI, DJAMAL NAVARRO, GONZALO

    Quelle: ACM Transactions on Algorithms; Apr2015, Vol. 11 Issue 4, p31:1-31:21, 21p

    Schlagwörter: MATHEMATICAL bounds, DATA structures, ALPHABETS, MATHEMATICAL sequences, PERMISSIVENESS

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  5. 5

    Alphabet-Independent Compressed Text Indexing.

    Autoren: BELAZZOUGUI, DJAMAL NAVARRO, GONZALO

    Quelle: ACM Transactions on Algorithms; Jul2014, Vol. 10 Issue 4, p1-19, 19p

    Schlagwörter: MATHEMATICAL bounds, ENTROPY (Information theory), INDEXING, ALGORITHMS, MATHEMATICAL analysis

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  6. 6

    Hardware-Based Load Value Trace Filtering for On-the-Fly Debugging.

    Autoren: UZELAC, VLADIMIR MILENKOVIĆ, ALEKSANDAR

    Quelle: ACM Transactions on Embedded Computing Systems; May2013 Supplement 2, Vol. 12, p1-18, 18p

    Schlagwörter: COMPUTER input-output equipment, INFORMATION filtering, DEBUGGING, COMPUTER software, DATA analysis, COMPUTER software execution, CYBER computers

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  7. 7

    Fast and Compact Web Graph Representations.

    Autoren: CLAUDE, FRANCISCO NAVARRO, GONZALO

    Quelle: ACM Transactions on the Web; Sep2010, Vol. 4 Issue 4, p16-16:31, 31p, 3 Diagrams, 9 Charts, 2 Graphs

    Schlagwörter: WEB browsing, DATA structures, DATA compression, COMPUTER programming, WEBSITES, ALGORITHMS, GRAPH theory, CODING theory

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  8. 8

    Optimal Distance Bounds for Fast Search on Compressed Time-Series Query Logs.

    Autoren: VLACHOS, MICHAIL KOZAT, SULEYMAN S. YU, PHILIP S.

    Quelle: ACM Transactions on the Web; Apr2010, Vol. 4 Issue 2, p6:1-6:28, 28p, 2 Diagrams, 3 Charts, 13 Graphs

    Schlagwörter: TIME series analysis, LOGARITHMS, QUERY languages (Computer science), INTERNET searching, DATA mining, BLOGS, SEARCH engine optimization

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  9. 9

    RIC: Parameter-Free Noise-Robust Clustering.

    Autoren: Böhm, Christian Faloutsos, Christos Jia-Yu Pan et al.

    Quelle: ACM Transactions on Knowledge Discovery from Data; Dec2007, Vol. 1 Issue 3, p1-29, 29p, 1 Black and White Photograph, 5 Diagrams, 6 Charts, 7 Graphs

    Schlagwörter: DOCUMENT clustering, DATABASE administration, DATA mining, CODING theory, ALGORITHMS, NOISE

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